space innovation policy for disaster management .... pyne et.al... · budhaditya pyne, giulio...
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Performance parameters
Need, growth & use case
Data, resolution, archives, fusion spectrum, age
Coverage, orbits, instruments, ground
stations
Satellites, launchers: sites, suppliers, tech
Ex. Innovation policies
Space data as quasi-public good
Training programs for GI data specialists
Subsides for instrument developers
International collaboration for
sharing platforms
Ex. Short- or Long-term effects
Increased user apps, public knowledge
New localized data products
Local instrument procurement &
capabilities
Available launch berths, improved
tech exposure
Space Innovation Policy for Disaster Management Capabilities – SIPDMC
Budhaditya Pyne, Giulio Coral, Goutham Karthikeyan, Hiya Roy, Lee Hee Woon, Marc-Andre Chavy-Macdonald*
The University of Tokyo
*For more information, please email [email protected] or [email protected]
Review of relevant work
Lessons Learned So Far • Inability to quickly process procured satellite data • Lack of Skilled Human Resources for DRRM • Coordination Gap between Government and Agencies handling DRRM
The Path Forward • Self-capacity to develop, procure and utilize space-based assets • Recognition of synergy between Stakeholders • Public-Private Partnerships (PPP) to tackle DRRM
Geographical information provision system-of-systems
Research Question What innovation policy is best suited to develop, procure and utilize key space technologies and capabilities to address the most pressing Disaster Risk Management needs of the nation, in its national and international context?
Schedule
Panorama of actors
Identify bottle-necks
Satellite Manufacturer
Satellite Operator
GI Service Provider
User Services/app
Policy executio
n
2016 2018 Apr Jun Dec Nov Sep Oct Nov Dec
Project Proposal
April 20 Formal Kickoff
June 15
Presentation at UN-SPIDER
Conference Beijing Sep 19-21
NewSpace Innovation Dynamics Journal
Submission Mid-term
Report
Presentation at IAC Conference Adelaide
Review of available Space Tech for DRRM in South-East Asia June 2016 – October 2016
Review of current Innovation Policy
June 2016 – November 2016 Identify Tech-Gap and Review current International Coordination for DRRM in South-East Asia
July 2016- December 2016 Identify Bottle-necks for DRRM in South-East Asia
July 2016 - January 2017 Develop Innovation Policy Proposal for improving Space-based DRRM capabilities in South-East Asia September 2016-March 2017
May Jul Aug Jan Feb Mar Apr May Jun Jul Aug Sep Oct
Oct 20
2017
Sep 25-29
Final Report TBD
TBD
Conference on Space-based Technologies for Disaster Risk Reduction –
"Understanding Disaster Risk"
Abstract • Understand space-based DRM capabilities of some ASEAN countries • Identify the technology gap between current and required levels • Formulate innovation policy that would bridge the gap
Innovation Policies – An Overview - Classifications
Granularity of Intervention • Horizontal Subsidy : E.g. 5-year national S&T plans – STEP for
Singapore
• Thematic Funding : E.g. Apollo Program
Sectoral Development • Human Resource Development
• Technological (Supply Side): E.g. Vannevar Bush, establishment of NSF • Ground-Level Training (Demand-Side): E.g. HRDP DRM Project, India • Global Academic Partnerships. E.g. PHL Micro-Sat Program
• Infrastructure Development
• E.g. Alternative Energy Development Plan, Thailand
• Market Development • E.g. Google SkyBox, Accuweather
• Institutional Reform
• National Level: Centralized vs. Decentralized approaches • International Level: E.g. Sentinel Asia, UN Charter
Innovation Policy
Disaster Risk Reduction
Space Technology
NewSpace SIPDMC project
UNOOSA UN-
SPIDER
Sendai framework
Motivation • ASEAN region natural disaster vulnerability • Nascent Filipino space capability (Japanese supported) • NewSpace: increased innovation in space sector • Synergistic innovation policy: DRM + S&T goals
References • 2015 UN-Spider, UNOOSA, ERIA, World Bank, ADB Reports on DRRM
Domestic gathering capacity
Existence of substitutes
Availability via international cooperation
Capacity to process to information
Overlay data & information
Dissemination & use
None Stations Yes Yes Yes Improving
Industry vertical & policy
Space disaster data pipelines (illustrative only)
Visible/IR images
Radar
Weather
None None Post-disaster Limited Limited Limited
None Aerial Post-disaster Limited Limited Limited